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(https://cpac.hep.anl.gov/ ). The successful applicants will join a new project in collaboration with Argonne’s Computing, Environment, and Life Sciences (CELS) Directorate, focused on an effort to make
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Argonne National Laboratory in Lemont, IL is seeking a Postdoctoral Appointee in the Materials Science Division in Computational Materials Chemistry and Machine Learning. The postdoctoral researcher
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information science. While focused on this core responsibility, the candidate will be encouraged to explore novel avenues of research that complement and enhance the group’s overall objectives (e.g. spin
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estimates critical to materials design. In this role you can expect to: Work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne National
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, analytical and physical chemistry, as well as condensed matter physics. They will have the opportunity to work with the computational facilities and advanced instrumentation available at Argonne National
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The Chemical Sciences and Engineering Division at Argonne National Laboratory is seeking a Postdoctoral Appointee who, under the guidance of a supervisor, will be involved in determining accurate
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computing (HPC). Develop accurate and computationally efficient CFD models to simulate the chain of physics and chemistry involved with fuel injection, fuel-air mixing, turbulent combustion, and emissions
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collection of cutting-edge hardware. Position Requirements Required Skills: Recent or soon-to-be completed PhD (typically completed within the last five years) 0-5 years of experience in computer science
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The Heavy Element Chemistry and Separation Sciences group in the Chemical Science and Engineering Division of Argonne National Laboratory is seeking applications for a postdoctoral research
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or mineral economics, Data Science, Statistics, Computer Science / Software Engineering, Mechanical Engineering, Industrial Engineering, Systems Engineering, Applied Mathematics, Operations Research, Logistics